Alternatives and similar repositories for 2016Bytecup

Users that are interested in 2016Bytecup are comparing it to the libraries listed below

• qqgeogor / bytecup_solution
  ☆37Updated 8 years ago
• LRegan666 / Tree_Deep_Model
  Deep neural network model based on the tree
  ☆48Updated 6 years ago
• Tristan-Chow / Recommendation-System-based-on-TensorFlow
  Neural candidates generation network based on Youtube reommender paper
  ☆21Updated 6 years ago
• charleshm / deep-ctr
  ☆91Updated 7 years ago
• QingqingSUN / YoutubeNet
  recommendation system with Youtube Deep Net
  ☆84Updated 6 years ago
• Lapis-Hong / FM
  using FM latent vectors as embedding features
  ☆14Updated 7 years ago
• oywtece / deepmcp
  Deep Matching, Correlation and Prediction (DeepMCP) Model
  ☆125Updated 4 years ago
• andrew-zzz / tree-based-deep-model
  it's the realization of Tree-based Deep Model with tensorflow
  ☆32Updated 5 years ago
• jxyyjm / tensorflow_test
  ☆43Updated 5 years ago
• CastellanZhang / lambdaFM
  Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank a…
  ☆110Updated 4 years ago
• chenlongzhen / wide-and-deep
  ☆18Updated 7 years ago
• zhusleep / ai_ppts
  ☆36Updated 4 years ago
• datawlb / code
  code exercise: dbscan(ballTree improve) | ctr(ftrl) | text classification(bayes..) | kmeans | general LR |..
  ☆26Updated 9 years ago
• waylensu / DeepFFM
  ☆27Updated 7 years ago
• cstur4 / interaction-aware-factorization-machines
  Tensorflow implementation for Interaction-aware factorization machines
  ☆50Updated 5 years ago
• zldeng / XgboostAndLR
  use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR
  ☆44Updated 7 years ago
• aimetrics / jarvis
  Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, p…
  ☆37Updated 4 years ago
• wangkobe88 / Earth
  ☆27Updated 7 years ago
• outstandingcandy / dssm
  Deep structured semantic model
  ☆32Updated 9 years ago
• wangzhegeek / item-userCF
  item&&userCF
  ☆9Updated 5 years ago
• keyunluo / Tencent2018_Lookalike_Rank10th
  2018年腾讯广告算法大赛Rank10代码：深度部分
  ☆68Updated 6 years ago
• CastellanZhang / NDCG
  ☆23Updated 7 years ago
• cnfsll / Attentional-Neural-Factorization-Machine
  Attention,Factorization Machine, Deep Learning, Recommender System
  ☆39Updated 7 years ago
• Lapis-Hong / Wide-ResDNN
  Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
  ☆82Updated 6 years ago
• yangxudong / papers
  算法相关的各种论文和slides
  ☆42Updated 6 years ago
• yinyajun / Details-In-Recommendation
  Recommender-In-Detail is a package which offers detailed implementations of state-of-the-art techniques and basic methods in recommendati…
  ☆19Updated 5 years ago
• Songbo729066989 / tencent_ad_ffm_baseline
  ☆31Updated 7 years ago
• gccrpm / deep_learning-1
  Basic Deep Learning
  ☆36Updated 6 years ago
• Hourout / CTR-keras
  Tensorflow2.x implementations of CTR（LR、FM、FFM)
  ☆72Updated 3 years ago
• Leavingseason / rnn_recsys
  Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"
  ☆141Updated 6 years ago